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ccSVM: correcting Support Vector Machines for confounding factors in biological data classification
Motivation: Classifying biological data into different groups is a central task of bioinformatics: for instance, to predict the function of a gene or protein, the disease state of a patient or the phenotype of an individual based on its genotype. Support Vector Machines are a wide spread approach fo...
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| Glavni autori: | , , |
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| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
Oxford University Press
2011
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| Teme: | |
| Online pristup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3117385/ https://ncbi.nlm.nih.gov/pubmed/21685091 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btr204 |
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